System and Method for Predicting Failure of Components Using Temporal Scoping of Sensor Data

2. The non-transitory computer readable medium of claim 1, wherein the renewable energy asset is a wind turbine or a solar panel.

3. The non-transitory computer readable medium of claim 1, wherein the one classified state of the renewable energy asset is based on a subset of sensor readings generated prior to the failure and not all of the sensor readings of the first historical data generated prior to the failure.

4. The non-transitory computer readable medium of claim 1, wherein the second period of time is a desired number of days before a predicted failure associated with the first potential failure state.

5. The non-transitory computer readable medium of claim 4, wherein the alert is provided at the desired number of days.

7. The non-transitory computer readable medium of claim 1, wherein identifying the at least some sensor data of the first historical data that was generated during the first failure indicated by the failure data comprises scanning at least some of the first historical data and comparing at least some of the sensor data of the first historical data to a failure threshold to identify at least some of the sensor data that was generated during the first failure.

9. The non-transitory computer readable medium of claim 1, further comprising generating a probability score based on a probability of the second sensor data fitting into the at least one classified state, wherein generating the alert comprises comparing the probability score to a threshold score.

10. The non-transitory computer readable medium of claim 1, wherein providing the alert comprises providing a message indicating at least one component associated with the second sensor data may potentially fail.

12. The system of claim 11, wherein the one classified state of the renewable energy asset is based on a subset of sensor readings generated prior to the failure and not all of the sensor readings of the first historical data generated prior to the failure.

13. The system of claim 11, wherein the second period of time is a desired number of days before a predicted failure associated with the first potential failure state.

14. The system of claim 13, wherein the alert is provided at the desired number of days.

16. The system of claim 11, wherein the instructions being executable by the at least one processor to identify the at least some sensor data of the first historical data that was generated during the first failure indicated by the failure data comprises scanning at least some of the first historical data and comparing at least some of the sensor data of the first historical data to a failure threshold to identify at least some of the sensor data that was generated during the first failure.

18. The system of claim 11, wherein the instructions being executable by the at least one processor further generate a probability score based on a probability of the second sensor data fitting into the at least one classified state, wherein generating the alert comprises comparing the probability score to a threshold score.

19. The system of claim 11, wherein the instructions being executable by the at least one processor to provide the alert comprises the instructions being executable by the at least one processor to provide a message indicating at least one component associated with the second sensor data may potentially fail.